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Gutierrez‐Patricio S, Osman JR, Gonzalez‐Pimentel JL, Jurado V, Laiz L, Concepción AL, Saiz‐Jimenez C, Miller AZ. Microbiological exploration of the Cueva del Viento lava tube system in Tenerife, Canary Islands. Environ Microbiol Rep 2024; 16:e13245. [PMID: 38643985 PMCID: PMC11033209 DOI: 10.1111/1758-2229.13245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 03/15/2024] [Indexed: 04/23/2024]
Abstract
Cueva del Viento, located in the Canary Islands, Spain, is the Earth's sixth-longest lava tube, spanning 18,500 m, and was formed approximately 27,000 years ago. This complex volcanic cave system is characterized by a unique geomorphology, featuring an intricate network of galleries. Despite its geological significance, the geomicrobiology of Cueva del Viento remains largely unexplored. This study employed a combination of culture-dependent techniques and metabarcoding data analysis to gain a comprehensive understanding of the cave's microbial diversity. The 16S rRNA gene metabarcoding approach revealed that the coloured microbial mats (yellow, red and white) coating the cave walls are dominated by the phyla Actinomycetota, Pseudomonadota and Acidobacteriota. Of particular interest is the high relative abundance of the genus Crossiella, which is involved in urease-mediated biomineralization processes, along with the presence of genera associated with nitrogen cycling, such as Nitrospira. Culture-dependent techniques provided insights into the morphological characteristics of the isolated species and their potential metabolic activities, particularly for the strains Streptomyces spp., Paenarthrobacter sp. and Pseudomonas spp. Our findings underscore the potential of Cueva del Viento as an ideal environment for studying microbial diversity and for the isolation and characterization of novel bacterial species of biotechnological interest.
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Affiliation(s)
| | - Jorge R. Osman
- Instituto de Geología Económica Aplicada (GEA)Universidad de ConcepciónConcepciónChile
| | - José Luis Gonzalez‐Pimentel
- Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS‐CSIC)SevillaSpain
- Laboratorio HERCULESUniversidade de ÉvoraÉvoraPortugal
| | - Valme Jurado
- Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS‐CSIC)SevillaSpain
| | - Leonila Laiz
- Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS‐CSIC)SevillaSpain
| | | | - Cesareo Saiz‐Jimenez
- Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS‐CSIC)SevillaSpain
| | - Ana Zélia Miller
- Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS‐CSIC)SevillaSpain
- Laboratorio HERCULESUniversidade de ÉvoraÉvoraPortugal
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Sebastià C, Folch JM, Ballester M, Estellé J, Passols M, Muñoz M, García-Casco JM, Fernández AI, Castelló A, Sánchez A, Crespo-Piazuelo D. Interrelation between gut microbiota, SCFA, and fatty acid composition in pigs. mSystems 2024; 9:e0104923. [PMID: 38095419 PMCID: PMC10804976 DOI: 10.1128/msystems.01049-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 11/06/2023] [Indexed: 01/24/2024] Open
Abstract
The gut microbiota is a key player in the host metabolism. Some bacteria are able to ferment non-digestible compounds and produce short-chain fatty acids that the host can later transform and accumulate in tissue. In this study, we aimed to better understand the relationships between the microorganisms and the short-chain fatty acid composition of the rectal content, including the possible linkage with the fatty acid composition in backfat and muscle of the pig. We studied a Duroc × Iberian crossbred population, and we found significant correlations between different bacterial and archaeal genera and the fatty acid profile. The abundance of n-butyric acid in the rectal content was positively associated with Prevotella spp. and negatively associated with Akkermansia spp., while conversely, the abundance of acetic acid was negatively and positively associated with the levels of Prevotella spp. and Akkermansia spp., respectively. The most abundant genus, Rikenellaceae RC9 gut group, had a positive correlation with palmitic acid in muscle and negative correlations with stearic acid in backfat and oleic acid in muscle. These results suggest the possible role of Prevotella spp. and Akkermansia spp. as biomarkers for acetic and n-butyric acids, and the relationship of Rikenellaceae RC9 gut group with the lipid metabolism, building up the potential, although indirect, role of the microbiota in the modification of the backfat and muscle fatty acid composition of the host.IMPORTANCEThe vital role of the gut microbiota on its host metabolism makes it essential to know how its modulation is mirrored on the fatty acid composition of the host. Our findings suggest Prevotella spp. and Akkermansia spp. as potential biomarkers for the levels of beneficial short-chain fatty acids and the possible influence of Rikenellaceae RC9 gut group in the backfat and muscle fatty acid composition of the pig.
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Affiliation(s)
- Cristina Sebastià
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Josep M. Folch
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Maria Ballester
- Departament de Genètica i Millora Animal, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Caldes de Montbui, Spain
| | - Jordi Estellé
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Magí Passols
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
| | - María Muñoz
- Departamento de Mejora Genética Animal, INIA-CSIC, Madrid, Spain
| | | | - Ana I. Fernández
- Departamento de Mejora Genética Animal, INIA-CSIC, Madrid, Spain
| | - Anna Castelló
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Armand Sánchez
- Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
| | - Daniel Crespo-Piazuelo
- Departament de Genètica i Millora Animal, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Caldes de Montbui, Spain
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Novo I, Ordás P, Moraga N, Santiago E, Quesada H, Caballero A. Impact of population structure in the estimation of recent historical effective population size by the software GONE. Genet Sel Evol 2023; 55:86. [PMID: 38049712 PMCID: PMC10694967 DOI: 10.1186/s12711-023-00859-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 11/20/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Effective population size (Ne) is a crucial parameter in conservation genetics and animal breeding. A recent method, implemented by the software GONE, has been shown to be rather accurate in estimating recent historical changes in Ne from a single sample of individuals. However, GONE estimations assume that the population being studied has remained isolated for a period of time, that is, without migration or confluence of other populations. If this occurs, the estimates of Ne can be heavily biased. In this paper, we evaluate the impact of migration and admixture on the estimates of historical Ne provided by GONE through a series of computer simulations considering several scenarios: (a) the mixture of two or more ancestral populations; (b) subpopulations that continuously exchange individuals through migration; (c) populations receiving migrants from a large source; and (d) populations with balanced systems of chromosomal inversions, which also generate genetic structure. RESULTS Our results indicate that the estimates of historical Ne provided by GONE may be substantially biased when there has been a recent mixture of populations that were previously separated for a long period of time. Similarly, biases may occur when the rate of continued migration between populations is low, or when chromosomal inversions are present at high frequencies. However, some biases due to population structuring can be eliminated by conducting population structure analyses and restricting the estimation to the differentiated groups. In addition, disregarding the genomic regions that are involved in inversions can also remove biases in the estimates of Ne. CONCLUSIONS Different kinds of deviations from isolation and panmixia of the populations can generate biases in the recent historical estimates of Ne. Therefore, estimation of past demography could benefit from performing population structure analyses beforehand, by mitigating the impact of these biases on historical Ne estimates.
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Affiliation(s)
- Irene Novo
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain.
| | - Pilar Ordás
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
| | - Natalia Moraga
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
| | - Enrique Santiago
- Departamento de Biología Funcional, Facultad de Biología, Universidad de Oviedo, 33006, Oviedo, Spain
| | - Humberto Quesada
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
| | - Armando Caballero
- Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain
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Murali R, Yu H, Speth DR, Wu F, Metcalfe KS, Crémière A, Laso-Pèrez R, Malmstrom RR, Goudeau D, Woyke T, Hatzenpichler R, Chadwick GL, Connon SA, Orphan VJ. Physiological potential and evolutionary trajectories of syntrophic sulfate-reducing bacterial partners of anaerobic methanotrophic archaea. PLoS Biol 2023; 21:e3002292. [PMID: 37747940 PMCID: PMC10553843 DOI: 10.1371/journal.pbio.3002292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 10/05/2023] [Accepted: 08/08/2023] [Indexed: 09/27/2023] Open
Abstract
Sulfate-coupled anaerobic oxidation of methane (AOM) is performed by multicellular consortia of anaerobic methanotrophic archaea (ANME) in obligate syntrophic partnership with sulfate-reducing bacteria (SRB). Diverse ANME and SRB clades co-associate but the physiological basis for their adaptation and diversification is not well understood. In this work, we used comparative metagenomics and phylogenetics to investigate the metabolic adaptation among the 4 main syntrophic SRB clades (HotSeep-1, Seep-SRB2, Seep-SRB1a, and Seep-SRB1g) and identified features associated with their syntrophic lifestyle that distinguish them from their non-syntrophic evolutionary neighbors in the phylum Desulfobacterota. We show that the protein complexes involved in direct interspecies electron transfer (DIET) from ANME to the SRB outer membrane are conserved between the syntrophic lineages. In contrast, the proteins involved in electron transfer within the SRB inner membrane differ between clades, indicative of convergent evolution in the adaptation to a syntrophic lifestyle. Our analysis suggests that in most cases, this adaptation likely occurred after the acquisition of the DIET complexes in an ancestral clade and involve horizontal gene transfers within pathways for electron transfer (CbcBA) and biofilm formation (Pel). We also provide evidence for unique adaptations within syntrophic SRB clades, which vary depending on the archaeal partner. Among the most widespread syntrophic SRB, Seep-SRB1a, subclades that specifically partner ANME-2a are missing the cobalamin synthesis pathway, suggestive of nutritional dependency on its partner, while closely related Seep-SRB1a partners of ANME-2c lack nutritional auxotrophies. Our work provides insight into the features associated with DIET-based syntrophy and the adaptation of SRB towards it.
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Affiliation(s)
- Ranjani Murali
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
| | - Hang Yu
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California, Unites Stated of America
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California, United States of America
| | - Daan R. Speth
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
- Division of Microbial Ecology, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | - Fabai Wu
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, China
| | - Kyle S. Metcalfe
- Department of Plant and Molecular Biology, University of California, Berkeley. Berkeley, California, United States of America
| | - Antoine Crémière
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California, Unites Stated of America
| | - Rafael Laso-Pèrez
- Systems Biology Department, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain
| | - Rex R. Malmstrom
- DOE Joint Genome Institute, Department of Energy, Berkeley, California, United States of America
| | - Danielle Goudeau
- DOE Joint Genome Institute, Department of Energy, Berkeley, California, United States of America
| | - Tanja Woyke
- DOE Joint Genome Institute, Department of Energy, Berkeley, California, United States of America
| | - Roland Hatzenpichler
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana, United States of America
| | - Grayson L. Chadwick
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California, Unites Stated of America
- Department of Plant and Molecular Biology, University of California, Berkeley. Berkeley, California, United States of America
| | - Stephanie A. Connon
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California, Unites Stated of America
| | - Victoria J. Orphan
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California, Unites Stated of America
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